Ford Global Technolgoies, LLC

David Alfred Ostrowski

Elizabeth Anne Manwell

William G Herbert

Mohan John

Leopoldo Urbina

Akshay Dirisala

Victoria Leigh Schein

Austin Kirchner

Raghavendran Shankar

Christopher Leon Jones

David Michael Herman

Jacob Martin Povirk

Lawrence C Karas

Charles Krysztof

Ashish Naidu

Antonio Stranges

Sheida Malekpour

Sakthish R Sathasivam

Herbert David Mendez Pineda

Andrew Christipher Posa

Madeleine Itzel Santiago Estrada

Sanjay Abhyankar

Systems and methods are disclosed for supporting and executing automated control of adjustable components of a vehicle based on occupant classification in a group identity database. Methods and systems for generating and employing the group identity database are also disclosed. Occupancy information may be utilized to determine how the group identity database is employed.

Navigational attribute driven system and method for adjusting an adjustable component of a vehicle

Systems and methods are disclosed for supporting and executing automated control of climate comfort settings based on user classification within a group identity database. Methods of generating and employing the group identity database are also disclosed.

Group identity-driven system and method for adjustment of cabin comfort setting

A method and system for navigating a vehicle based upon data of a group includes automatically determining a specific group identity for an operator and one or more occupants of a vehicle by digitally identifying the operator and the one or more occupants of the vehicle based upon Received Signal Strength Indication (RSSI) of a wireless network with multiple antennas in the vehicle to estimate localization of wireless devices of the operator and the one or more occupants, evaluating parameters associated with the specific group identity, and determining a path for the vehicle based upon the specific group identity.

Group-based navigation

Navigational attribute driven system and method for adjusting the cabin comfort setting of a vehicle control

Group identity-driven system and method for adjusting an adjustable component of a vehicle

Systems and methods are disclosed for optimizing an antenna topology to detect a seating position of a vehicle occupant. Methods and systems for determining a target position for an antenna of the antenna topology are also disclosed. Determining the target position may be based on a comparison of a predicted seating position to a true seating position.

Systems and methods for optimizing an antenna topology of a vehicle

A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature altering element; and activating the temperature altering element.

Automatic control of heating and cooling of a vehicle seating assembly pursuant to predictive modeling that recalibrates based on occupant manual control

Methods and systems are provided for selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle on a road segment that includes one or more road attributes associated with increased levels of anxiety. In one example, selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle includes determining a driver classification for a driver operating the vehicle; predicting an anxiety level of the driver at an upcoming traffic condition, based on the driver classification; and selectively inhibiting an upcoming engine idle-stop event based on the predicted anxiety level of the driver.

Methods and systems for an adaptive stop-start inhibitor

Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption map that provide input to nonlinear model predictive controller.

Method and system for vehicle stop/start control

A computer includes a processor and a memory storing instructions executable by the processor to generate an operation parameter histogram for each of a plurality of vehicle operation parameters, operate a test vehicle according to the operation parameter histograms, input each operation parameter histogram and a plurality of test vehicle environment data to a machine learning program, output from the machine learning program a classification for each operation parameter histogram from the machine learning program, input the classifications to a predictive damage model of a three-dimensional schematic of a vehicle component, and adjust one of a size or a shape of the three-dimensional schematic based the output of the predictive damage model. The operation parameter histograms are based on collected data about operation of a plurality of vehicles. Each operation parameter histogram includes an array of elements. Each element is a number of data points for one of the operation parameters that are within a specified range. Each classification represents a type of environment and a type of test vehicle use.

Enhanced component dimensioning

A method of controlling a heating element in thermal communication with a rear window of a vehicle comprises: with a vehicle being in an external environment and comprising a rear window and a heating element in thermal communication with the rear window, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

Automatic control of a heating element in thermal communication with a rear window of a vehicle pursuant to predictive modeling that recalibrates based on occupant manual control of the heating element

A vehicle includes an electric machine and a controller. The electric machine is configured to draw energy from a battery to propel the vehicle and to recharge the battery during regenerative braking. The controller is programmed to, in response to identifying a regenerative braking opportunity along an upcoming road segment based on a classification of driver behavior and a classification of the upcoming road segment, operate the electric machine to recharge the battery along the upcoming road segment.

Regenerative braking control system

Systems and methods for controlling an automatic climate control system of a vehicle include, by one or more onboard processors in operative communication with one or more sensors, initiating the automatic climate control system. The processors receive from the one or more sensors at least a vehicle input and a user identifier input. A unique user climate control system actuation action is implemented according to the received vehicle input and user identifier input provided by applying at least one predictive model to a stored set of climate control system operating parameters. A unique user climate control system operating pattern is implemented according to the received vehicle input and user identifier input provided by applying at least one different predictive model to the stored set of climate control system operating parameters.

Automatic adaptive climate controls

A method of controlling a heating element within a steering wheel of a vehicle comprising: presenting a vehicle comprising a steering wheel including a heating element, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

Automatic control of a heating element in a steering wheel of a vehicle pursuant to predictive modeling that recalibrates based on occupant manual control of the heating element

Growing community of inventors

Northville, MI, United States of America

David Alfred Ostrowski